Generative AI Data Integration Engineer – Cloud & Microservices
⚲ Kraków
24 150–32 550 zł netto (+ VAT) / mies.
Wymagania
- Python
- Data Virtualization
- BigQuery
Opis stanowiska
Nasze wymagania:
At least 7 years of proven experience in data integration, microservices development, or related fields.
Strong proficiency in Python, particularly with FastAPI and microservices architecture.
Solid knowledge of databases and data virtualization tools such as MongoDB, Hadoop, starburst, and PostgreSQL.
Experience working within cloud platforms like GCP and Azure.
Understanding of modern AI data workflows, including Memory stores, RAGs, and Context Engineering.
Familiarity with Data Virtualization and BigQuery.
Mile widziane:
Certifications in cloud platforms (GCP, Azure).
Experience with evaluation systems for AI solutions.
Knowledge of Google ADK and other AI/ML toolkits.
O projekcie:
As a Generative AI Data Integration Engineer – Cloud & Microservices, you will be working for our client, a pioneering force within the CTO DATA domain, dedicated to delivering ethical and cutting-edge Generative AI experiences. You will play a critical role in expanding data utilization for AI models, building data pipelines, and creating microservices that enhance AI solutions—pushing the boundaries of technology and creating impactful insights for clients and colleagues alike.
Zakres obowiązków:
Design and develop data transfer pipelines to source information from diverse systems used by Generative AI models.
Create and maintain microservices synchronized with the overall GenAI ecosystem, ensuring seamless data flow and system integration.
Collaborate with cross-functional teams to optimize data management and improve AI model performance.
Implement scalable solutions leveraging cloud platforms such as GCP and Azure to support AI-driven insights.
Develop and refine data storage and retrieval solutions using databases and vector stores.
Participate in the development of Context Engineering, RAGs, and evaluation systems to ensure responsible and efficient AI outputs.
Excellent command of English, both spoken and written.
Oferujemy:
Stable and long-term cooperation with very good conditions.
Enhance your skills and develop your expertise in the financial industry.
Work on the most strategic projects available in the market.
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years.
Participate in Social Events, training, and work in an international environment.
Access to attractive Medical Package.
Access to Multisport Program.
Access to Pluralsight.
Flexible hours.
At least 7 years of proven experience in data integration, microservices development, or related fields.
Strong proficiency in Python, particularly with FastAPI and microservices architecture.
Solid knowledge of databases and data virtualization tools such as MongoDB, Hadoop, starburst, and PostgreSQL.
Experience working within cloud platforms like GCP and Azure.
Understanding of modern AI data workflows, including Memory stores, RAGs, and Context Engineering.
Familiarity with Data Virtualization and BigQuery.
Mile widziane:
Certifications in cloud platforms (GCP, Azure).
Experience with evaluation systems for AI solutions.
Knowledge of Google ADK and other AI/ML toolkits.
O projekcie:
As a Generative AI Data Integration Engineer – Cloud & Microservices, you will be working for our client, a pioneering force within the CTO DATA domain, dedicated to delivering ethical and cutting-edge Generative AI experiences. You will play a critical role in expanding data utilization for AI models, building data pipelines, and creating microservices that enhance AI solutions—pushing the boundaries of technology and creating impactful insights for clients and colleagues alike.
Zakres obowiązków:
Design and develop data transfer pipelines to source information from diverse systems used by Generative AI models.
Create and maintain microservices synchronized with the overall GenAI ecosystem, ensuring seamless data flow and system integration.
Collaborate with cross-functional teams to optimize data management and improve AI model performance.
Implement scalable solutions leveraging cloud platforms such as GCP and Azure to support AI-driven insights.
Develop and refine data storage and retrieval solutions using databases and vector stores.
Participate in the development of Context Engineering, RAGs, and evaluation systems to ensure responsible and efficient AI outputs.
Excellent command of English, both spoken and written.
Oferujemy:
Stable and long-term cooperation with very good conditions.
Enhance your skills and develop your expertise in the financial industry.
Work on the most strategic projects available in the market.
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years.
Participate in Social Events, training, and work in an international environment.
Access to attractive Medical Package.
Access to Multisport Program.
Access to Pluralsight.
Flexible hours.
🔍 Dekoder Ogłoszenia
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pioneering force within the CTO DATA domain, dedicated to delivering ethical and cutting-edge Generative AI experiences
Firma pozycjonuje się jako lider innowacji w obszarze danych dla AI, co może sugerować pracę nad nowatorskimi, ale potencjalnie jeszcze nie w pełni ugruntowanymi technologiami.
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play a critical role in expanding data utilization for AI models, building data pipelines, and creating microservices that enhance AI solutions
Oznacza to, że będziesz odpowiedzialny za kluczowe, ale potencjalnie bardzo szerokie i zróżnicowane zadania związane z danymi i architekturą AI.
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pushing the boundaries of technology
Może oznaczać pracę nad nowymi, eksperymentalnymi rozwiązaniami, które nie są jeszcze standardem rynkowym i mogą wiązać się z niepewnością.
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At least 7 years of proven experience
Wymagane jest znaczące doświadczenie, co może ograniczać dostępność dla osób z mniejszym stażem, nawet jeśli posiadają odpowiednie umiejętności.
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Familiarity with Data Virtualization and BigQuery
Wymagana jest znajomość konkretnych narzędzi, co może oznaczać, że projekt jest już mocno osadzony w tej technologii.